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Completes Task 2 (TICKETS 4.2.4-4.2.7)
- Refactors SpacyAnnotator.annotate_text to use nlp.pipe for batching. - Adds DATAFOG_SPACY_BATCH_SIZE env var for configurable batch size. - Includes module-level caching for spaCy models. - Wraps blocking spaCy/Tesseract calls in asyncio.to_thread. - Adds tests for batch size configuration. - Updates README with new features and configuration.
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Implemented batch processing in SpacyAnnotator using nlp.pipe() for better performance.
Added model caching for spaCy models.
Made spaCy and Tesseract calls asynchronous using asyncio.to_thread.
Made the spaCy batch size configurable via the DATAFOG_SPACY_BATCH_SIZE environment variable.
Added comprehensive tests for the new functionality.
Updated the README.md to document the new features and configuration.
Ensured all code passed tox and pre-commit checks.